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Alberto Broggi

Alberto Broggi

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
13977
World Ranking
2931
National Ranking
49

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award
  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions in the field of computer vision-based advanced driver assistance systems and autonomous driving
  • 2014 - IEEE Fellow For contributions to the design of automated vehicles

Overview

Alberto Broggi is affiliated with the University of Parma in Italy. Their research spans multiple fields, primarily within Engineering and Computer Science, with a focus on subfields such as Automotive Engineering, Control and Systems Engineering, Artificial Intelligence, Statistical and Nonlinear Physics, and Computer Vision and Pattern Recognition.

The scientist's main topics of work include Autonomous Vehicle Technology and Safety, Traffic Control and Management, Reinforcement Learning in Robotics, Model Reduction and Neural Networks, Advanced Neural Network Applications, and Traffic Prediction and Management Techniques.

Recent papers authored or coauthored by Alberto Broggi cover areas related to autonomous driving and deep reinforcement learning. Notable publications include:

  • "Tackling Real-World Autonomous Driving using Deep Reinforcement Learning," 2022, published in the 2022 IEEE Intelligent Vehicles Symposium (IV)
  • "From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning," 2020, published in arXiv (Cornell University)
  • "Tackling Real-World Autonomous Driving using Deep Reinforcement Learning," 2022, published in arXiv (Cornell University)
  • "End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning," 2021, published in arXiv (Cornell University)
  • "Scalable System Solutions Pave the Way to Autonomous Mobility," 2023, published in ATZelectronics worldwide

They have coauthored works with colleagues including Alessandro Paolo Capasso, Paolo Maramotti, Giulio Bacchiani, Alexander D. Stoyenko, and Anthony Dell'Eva.

Alberto Broggi has published a book titled Engineering of Complex Computer Systems in 2024 through Springer Science+Business Media.

The scientist has received recognitions such as the IEEE Fellow award in 2014 for contributions to the design of automated vehicles and was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2016 for contributions to computer vision-based advanced driver assistance systems and autonomous driving.

Best Publications

  • GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection

    M. Bertozzi;A. Broggi

  • Vision-based intelligent vehicles: State of the art and perspectives

    Massimo Bertozzi;Alberto Broggi;Alessandra Fascioli

  • Artificial vision in road vehicles

    M. Bertozzi;A. Broggi;M. Cellario;A. Fascioli

  • Pedestrian Detection using Infrared images and Histograms of Oriented Gradients

    F. Suard;A. Rakotomamonjy;A. Bensrhair;A. Broggi

  • Vision system for a vehicle

    Alberto Broggi;Gary Schmiedel;Christopher K. Yakes

  • Shape-based pedestrian detection

    A. Broggi;M. Bertozzi;A. Fascioli;M. Sechi

  • Vehicle diagnostics based on information communicated between vehicles

    Jacob Fischer;Dale Frampton;Gary Schmiedel;Christopher K. Yakes

  • Stereo inverse perspective mapping: theory and applications

    Massimo Bertozz;Alberto Broggi;Alessandra Fascioli

  • Vehicle and guard rail detection using radar and vision data fusion

    Giancarlo Alessandretti;Alberto Broggi;Pietro Cerri

  • Stereo vision-based vehicle detection

    M. Bertozzi;A. Broggi;A. Fascioli;S. Nichele

  • Real Time Road Signs Recognition

    A. Broggi;P. Cerri;P. Medici;P.P. Porta

  • Obstacle Detection with Stereo Vision for Off-Road Vehicle Navigation

    A. Broggi;C. Caraffi;R.I. Fedriga;P. Grisleri

  • Extensive Tests of Autonomous Driving Technologies

    Alberto Broggi;Michele Buzzoni;Stefano Debattisti;Paolo Grisleri

  • Automatic Vehicle Guidance: the Experience of the ARGO Autonomous Vehicle

    Alberto Broggi;Massimo Bertozzi;Alessandra Fascioli;Gianni Conte

  • A New Approach to Urban Pedestrian Detection for Automatic Braking

    A. Broggi;P. Cerri;S. Ghidoni;P. Grisleri

  • Pedestrian detection for driver assistance using multiresolution infrared vision

    M. Bertozzi;A. Broggi;A. Fascioli;T. Graf

  • Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis

    G. Toulminet;M. Bertozzi;S. Mousset;A. Bensrhair

  • A cooperative approach to vision-based vehicle detection

    A. Bensrhair;M. Bertozzi;A. Broggi;P. Miche

  • Visual perception of obstacles and vehicles for platooning

    A. Broggi;M. Bertozzi;A. Fascioli;C. Guarino Lo Bianco

  • A real-time oriented system for vehicle detection

    Massimo Bertozzi;Alberto Broggi;Stefano Castelluccio

  • Pedestrian Detection usingInfraredimages and Histograms of Oriented Gradients

    F. Suard;A. Rakotomamonjy;A. Bensrhair;A. Broggi

Frequent Co-Authors

Massimo Bertozzi
Massimo Bertozzi University of Parma
Umit Ozguner
Umit Ozguner The Ohio State University
Alain Rakotomamonjy
Alain Rakotomamonjy Criteo (France)
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego
José María Armingol
José María Armingol Carlos III University of Madrid
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Thomas B. Moeslund
Thomas B. Moeslund Aalborg University
Arturo de la Escalera
Arturo de la Escalera Carlos III University of Madrid
Roberto Passerone
Roberto Passerone University of Trento

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